Agent Switchboard

Modal vs Agno vs Runpod

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Modal vs Agno vs Runpod, side by side
Modalby ModalRemove Modal from this comparisonAgnoby AgnoRemove Agno from this comparisonRunpodby RunpodRemove Runpod from this comparison
Sets it apart
  • Official Modal listing
  • Streams responses
  • Streams responses
  • Only one with an MCP server
  • Official Runpod listing
  • Most skills (5)
  • Newest listing (added Oct 31, 2026)
What it isServerless cloud for running Python functions, GPU workloads, and sandboxed agent code, defined in code and deployed without managing infrastructure.Python framework for building multi-agent platforms — define agents in code, deploy as FastAPI services. 40k GitHub stars. Supports MCP, 20+ models, memory layers.Runs AI workloads on Runpod GPUs with autoscaling serverless endpoints, on-demand Pods, and network volumes, managed via REST API, the runpod Python SDK and rp CLI, or a hosted MCP.
ProviderModalAgnoRunpod
Official vendorModalNot an official listingRunpod
VerifiedYesSame for all
AccessAPI, CLIAPI, CLIAPI, MCP, CLI
AuthAPI KeySame for all
MCP serverNo MCP serverNo MCP serverHostedhttps://mcp.runpod.io/
CLI installpippip install modalIn its docsInstall scriptbash <(curl -sL cli.runpod.io)
API base URLIn its docsIn its docshttps://api.runpod.io/v2
SkillsNone listedAgent Definition, Team Orchestration, FastAPI DeploymentServerless Endpoints, Pods, Runpod SDK Apps, Network Volumes, Public Endpoints
StreamingYesYesNo
Push notificationsNoSame for all
CategoriesInfrastructure & OpsSame for all
Tagsserverless, gpu-compute, sandboxed-execution, pythonagent-framework, multi-agent, fastapi, mcp-client, python-sdk, tool-use, memory-managementrunpod, gpu-cloud, serverless-gpu, gpu-pods, inference-endpoints, network-volumes, python-sdk
Listed sinceAug 11, 2026May 13, 2026Oct 31, 2026
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/compare?a=modal&b=agno&c=runpod
3 listings side by side · "same" marks a row every column shares
listings
modalapi+cliOfficial Modal listing; Streams responsesagnoapi+cliStreams responsesrunpodapi+cli+mcpOnly one with an MCP server; Official Runpod listing; Most skills (5); Newest listing (added Oct 31, 2026)
rows
descriptionServerless cloud for running Python functions, GPU workloads, and sandboxed agent code, defined in code and deployed without managing infrastructure. | Python framework for building multi-agent platforms — define agents in code, deploy as FastAPI services. 40k GitHub stars. Supports MCP, 20+ models, memory layers. | Runs AI workloads on Runpod GPUs with autoscaling serverless endpoints, on-demand Pods, and network volumes, managed via REST API, the runpod Python SDK and rp CLI, or a hosted MCP.
providerModal | Agno | Runpod
officialModal | Not an official listing | Runpod
verified (same)Yes
accessAPI, CLI | API, CLI | API, MCP, CLI
auth (same)API Key
mcpNo MCP server | No MCP server | Hosted: https://mcp.runpod.io/
clipip: pip install modal | In its docs | Install script: bash <(curl -sL cli.runpod.io)
apiIn its docs | In its docs | https://api.runpod.io/v2
skills— | Agent Definition, Team Orchestration, FastAPI Deployment | Serverless Endpoints, Pods, Runpod SDK Apps, Network Volumes, Public Endpoints
streamingYes | Yes | No
push (same)No
categories (same)Infrastructure & Ops
tagsserverless, gpu-compute, sandboxed-execution, python | agent-framework, multi-agent, fastapi, mcp-client, python-sdk, tool-use, memory-management | runpod, gpu-cloud, serverless-gpu, gpu-pods, inference-endpoints, network-volumes, python-sdk
addedAug 11, 2026 | May 13, 2026 | Oct 31, 2026
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